DBA Senior Consultant

Mphasis; Bengaluru; On-site; INR 167,400 - 279,000; Full time

Job summary

Mphasis is searching for a skilled Technical Architect to design and implement scalable data platforms with a focus on Databricks. You will lead the migration to a modern Lakehouse architecture and ensure data governance and quality in a collaborative environment.

The ideal candidate will possess 6-8 years of experience and a solid command of Azure Databricks, Spark, and SQL, while mentoring others in best practices. This position supports a diverse array of business applications.

Qualifications

• 6-8 years of experience in technical architecture with Databricks.
• Strong understanding of distributed computing and data security.
• Experience with data governance and quality standards.

Responsibilities

• Design and implement data platforms using Azure Databricks.
• Lead migration to modern Lakehouse architecture.
• Mentor junior staff on best practices in Databricks.

Skills

Databricks

Azure

SQL

Python

Scala

Spark

CI/CD

DevOps

Airflow

Data Factory

Education

Bachelor’s or Master’s in Computer Science, Data Science, or related field

Tools

Azure Databricks

Apache Spark

Delta Lake

MLflow

Power BI

Tableau

Kafka

Snowflake

Job description

Job Summary

We are seeking a highly skilled Technical Architect with a strong focus on Databricks to design and implement scalable data platforms and pipelines. The ideal candidate will lead the migration from legacy systems to a modern Lakehouse architecture, ensuring data governance, quality, and security while collaborating with various stakeholders to align technical solutions with business objectives.

Location: Offshore

Years of Experience: 6-8 years

Core Responsibilities

• Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark, Delta Lake, and MLflow.
• Lead the migration from legacy platforms to Lakehouse architecture.
• Develop batch and streaming data pipelines for ingestion, transformation, and analytics.
• Establish standards for data governance, quality, and security.
• Collaborate with stakeholders to align architecture with business goals.
• Mentor data engineers and developers on Databricks best practices.
• Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, and Azure Data Factory.

Mandatory Skills

• Strong command of Databricks and Azure.
• Proficiency in SQL, Python, Scala, and Spark.
• Experience with CI/CD pipelines, DevOps, and orchestration tools like Airflow or Data Factory.
• Familiarity with Azure cloud platforms.
• Deep understanding of distributed computing, performance tuning, and data security.

Preferred Skills

• Experience with data mesh, data fabric, or enterprise data architectures.
• Strong ERP knowledge (e.g., SAP, Salesforce).
• Hands‑on capability and self‑exploration skills to drive analytics adoption across business teams.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
• Certifications such as Azure Solution Architect, Azure Data Engineer, or Databricks Certified Data Engineer or Solutions Architect.
• Domain knowledge in finance, healthcare, or public sector is a plus.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breastfeeding and related medical conditions), mental or physical disability, medical conditions military and veteran status, or any other status or condition protected by applicable federal, state or local laws, government regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E‑Verify posting click here.